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草业学报 ›› 2014, Vol. 23 ›› Issue (1): 205-216.DOI: 10.11686/cyxb20140125

• 研究论文 • 上一篇    下一篇

老芒麦种质资源遗传多样性的SRAP分析

顾晓燕1,郭志慧1,张新全1,周永红2,白史且3,张昌兵3,蒋忠荣4,刘新1,周朝杰1,马啸1*   

  1. 1.四川农业大学动物科技学院草业科学系,四川雅安625014
    2.四川农业大学小麦研究所,四川成都,611130
    3.四川省草原科学研究院,四川成都611731
    4.四川省甘孜藏族自治州畜牧科学研究所,四川康定626000
  • 收稿日期:2013-08-19 出版日期:2014-02-20 发布日期:2014-02-20
  • 通讯作者: E-mail:maroar@126.com
  • 作者简介:顾晓燕(1989-),女,甘肃兰州人,在读硕士。E-mail:mobei_ttxs@126.com
  • 基金资助:
    国家科技支撑计划(2011BAD17B03,2012BAD13B06),四川省科技支撑计划(2011NZ0098-11)和国家自然科学基金(31101763)资助

Genetic diversity of Elymus sibiricus germplasm resources revealed by SRAP markers

GU Xiao-yan1,GUO Zhi-hui1,ZHANG Xin-quan1,ZHOU Yong-hong2,BAI Shi-qie3,ZHANG Chang-bing3,JIANG Zong-rong4,LIU Xin1,ZHOU Chao-jie1,MA Xiao1   

  1. 1.Animal Science and Technology College,Sichuan Agricultural University,Ya’an 625014,China;
    2.Institute of Triticeae,Sichuan Agricultural University,Chengdu 611130,China;
    3.Sichuan Academy of Grassland Science,Chengdu 611731,China;
    4.Institute of Animal Husbandry of Ganzi Autonomous Prefecture of Sichuan Province,Kangding 626000,China
  • Received:2013-08-19 Online:2014-02-20 Published:2014-02-20

摘要: 利用SRAP标记,对来自亚洲的84份老芒麦种质的遗传多样性和遗传关系进行了分析。23个引物组合共产生337条扩增带,其中203条为多态性带,多态性比率为60.24%。各种质间遗传相似系数的变幅为0.783~0.965,平均值为0.865。来自于青藏高原和蒙古的种质间的平均遗传相似性(GS)值最小(0.830),而来自于俄罗斯和蒙古的种质间的平均GS值最大(0.897)。对84份种质的聚类分析表明,供试种质可以划分成2大类,而且聚类结果与原始相似性矩阵间具有很高的吻合度(r=0.88)。同时,主向量分析(PCoA)也得到了与聚类分析类似的结果。方差分析(AMOVA)表明在总的遗传变异中有79.62%发生在地理类群内,有20.38%发生在类群间(ΦST=0.204),类群间和类群内的变异均为极显著(P<0.0001)。基于各地理类群间ΦST值进行的聚类分析也表明青藏高原类群明显区别于其他地理类群。这种聚类模式可能依赖于种质地理来源赋予其的特殊生态地理适应性。本研究结果对于今后老芒麦种质的利用和品种选育提供了有益信息。

Abstract: SRAP markers were used to analyze genetic diversity and genetic relationship among eighty-four Elymus sibiricus accessions from Asia. A set of 23 primer combinations yielded 337 bands,of which 203 were polymorphic (60.24%). Genetic similarity values (GS) among the accessions ranged between 0.783 and 0.965 with a mean of 0.865. On the average,Mongolian and Russian accessions were the most similar while,Mongolian and Qinghai-Tibet Plateau accessions were the most distant ones. Cluster analysis grouped the 84 accessions into two clusters,which has quite a high fit (r=0.88) to the original similarity matrix. Results of cluster analysis which was supported strongly by the principal coordinate analysis. The molecular variance analysis (AMOVA) showed that the proportion of variation explained by within geographic group and between geographic groups diversity was 0.7962 and 0.2038,respectively. Similar results were obtained when genetic diversity was estimated using the Shannon’s index of diversity. Based on pairwise ΦST between geographic groups,cluster analysis showed a clear demarcation between accessions from Qinghai-Tibet Plateau and the others as separate groups. The clustering pattern was probably dependent on geographic origin and ecological adaptability of the accessions. The results of present study can be useful in collecting germplasm and the establishment of core collections of E. sibiricus. The results in this study will provide useful information for the use of E. sibiricus germplasm and variety breeding.

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